Senior Product Manager (AI Infrastructure & GPU)

This team is revolutionizing Akamai's cloud into a global leader for advanced computing. It involves launching GPU instances, clusters, and AI infrastructure products. These solutions empower enterprises, developers, and researchers to train models, perform inference, and address complex computational challenges. The role requires expertise in GPU technologies, innovative product strategies, and operational precision within a dynamic, results-driven environment. Responsibilities Defining product strategy and roadmap for GPU instances, clusters, and services, aligning positioning and requirements to customer and market needs. Managing the entire product lifecycle, from planning to end-of-life, while creating detailed business analyses and financial models for support. Developing and executing go-to-market strategies, messaging, and launch plans in partnership with marketing, sales, and solutions engineering. Collaborating with ecosystem partners, aligning their roadmap and platform integration with Akamai's product objectives and technical needs. Translating AI, HPC, and graphics workload needs into specifications, performance goals, and architectures to enable design success and customer engagement. Overseeing GPU infrastructure lifecycle components, utilizing data-driven decisions on investments from platform evolution to implementing product End-of-Life as needed. Representing various user objectives while identifying enhancements for proactive monitoring, support processes, escalation workflows, and both planned and unplanned maintenance of Nvidia GPU clusters. Qualifications Have 12 years of relevant experience and a Bachelor's degree in Computer Science, Engineering, or its equivalent. Have maintained a customer-first focus even when the customers are internal engineers and data scientists, prioritizing automation, usability, and low-friction integration for GPU workloads. Demonstrate expertise in GPU architectures, CUDA ecosystem, and accelerated computing platforms, including resource management and cluster orchestration for AI workloads. Have knowledge of cloud networking, GPU interconnects, and infrastructure redundancy in the context of large-scale GPU deployments. Demonstrate proficiency in developing both business and technical models for GPU cloud products, including pricing, profitability, and TCO analysis. Maintain familiarity with AI workload patterns, enterprise security requirements, and hardware-level APIs for GPU instances. Build relationships and secure buy-in from engineering teams regarding new GPU product goals and technical requirements. Compensation and Benefits Akamai is committed to fair and equitable compensation practices. For US based candidates only - the base salary for this position ranges from $139,300 - $250,700/year; a candidate’s salary is determined by various factors including, but not limited to, relevant work experience, skills, certifications and location. Compensation for candidates outside the US will vary. The compensation package may also include incentive compensation opportunities in the form of annual bonus or incentives, equity awards and an Employee Stock Purchase Plan (ESPP). Akamai provides industry-leading benefits including healthcare, 401K savings plan, company holidays, vacation (in the form of PTO), sick time, family friendly benefits including parental leave and an employee assistance program including a focus on mental and financial wellness; Eligibility requirements apply. Equal Employment Opportunity Rights Akamai Technologies is an affirmative action, equal opportunity employer that values the strength that diversity brings to the workplace. All qualified applicants will receive consideration for employment and will not be discriminated against on the basis of gender, gender identity, sexual orientation, race/ethnicity, protected veteran status, disability, or other protected group status. #J-18808-Ljbffr Akamai Technologies, Inc.